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Article

Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data

ORCID Icon, ORCID Icon & ORCID Icon
Pages 2176-2209 | Received 14 Jul 2020, Accepted 06 Oct 2020, Published online: 26 Oct 2020

Figures & data

Figure 1. Landslide in 2018 razed the village access road and temple near Amroha.

Figure 1. Landslide in 2018 razed the village access road and temple near Amroha.

Figure 2. Location of the Study Area.

Figure 2. Location of the Study Area.

Table 1. Data and materials used with their resolution and sources.

Figure 3. Field photographs showing (a) rock fall on Kalsi-Chakrata Highway in 2018 (b) slope instabiliy at a landslide site near Sahiya (2017) (c) warning board (rarely found) for frequent rock fall (2017) (d) major landslide area in Amroha (2017).

Figure 3. Field photographs showing (a) rock fall on Kalsi-Chakrata Highway in 2018 (b) slope instabiliy at a landslide site near Sahiya (2017) (c) warning board (rarely found) for frequent rock fall (2017) (d) major landslide area in Amroha (2017).

Figure 5. Fuzzy AHP methodology adopted in this study.

Figure 5. Fuzzy AHP methodology adopted in this study.

Table 2. Development of hierarchical structure.

Table 3. Mean pairwise comparison with respect to GOAL.

Table 4. Normalized fuzzy AHP weights derived for the conditional factors.

Figure 6. (a) Landslide susceptibility map applying fuzzy AHP model (b) Distribution of LSI zones.

Figure 6. (a) Landslide susceptibility map applying fuzzy AHP model (b) Distribution of LSI zones.

Table 5. Distribution of very high and high LSI areas by village.

Figure 7. Validation of landslide susceptibility index through ROC curve and R-index.

Figure 7. Validation of landslide susceptibility index through ROC curve and R-index.

Figure 8. Correlation of fuzzy AHP model output and the landslide conditioning factors a) Slope classes, b) Rainfall classes, c) NDVI classes d) Lithology/ Geology Classes, e) Land use classes, f) Road proximity classes.

Figure 8. Correlation of fuzzy AHP model output and the landslide conditioning factors a) Slope classes, b) Rainfall classes, c) NDVI classes d) Lithology/ Geology Classes, e) Land use classes, f) Road proximity classes.

Data availability statement

The data that support the findings of this study are available from the corresponding authors, upon reasonable request.